WHO COVID-19 Cases - Dataset
Uncovering the Correlation Between cases and between infection areas
@kaggle.ironwolf437_who_covid_19_cases_dataset
Uncovering the Correlation Between cases and between infection areas
@kaggle.ironwolf437_who_covid_19_cases_dataset
The objective of this dataset is to:
| | Columns | Description | Type |
|----------------------|---------------------------------------------------------------------------------|---------------|
|1| Date_reported | Date of recording the number of cases, whether infected or dead. | Categorical |
|2| Country_code | A standardized code (ISO-3166) for the country (e.g., US for the United States).| Categorical |
|3| Country | The full name of the country where the data is collected. | Categorical |
|4| Continent | The continent on which the country is located (e.g., Asia, Europe). | Categorical |
|5| WHO_region | The specific WHO region that the country belongs to (e.g., AFRO, EMRO, EURO). | Categorical |
|6| New_cases | The number of newly reported COVID-19 cases on the reporting date. | Numerical (float) |
|7| Cumulative_cases | The total number of COVID-19 cases reported in the country to date. | Numerical (int) |
|8| New_deaths | The number of newly reported deaths due to COVID-19 on the reporting date. | Numerical (float) |
|9| Cumulative_deaths | The total number of deaths due to COVID-19 reported in the country to date. | Numerical (int) |
CREATE TABLE countries (
"country" VARCHAR,
"latitude" DOUBLE,
"longitude" DOUBLE,
"name" VARCHAR
);CREATE TABLE who_covid_19_cases (
"date_reported" TIMESTAMP,
"country_code" VARCHAR,
"country" VARCHAR,
"continent" VARCHAR,
"who_region" VARCHAR,
"new_cases" DOUBLE,
"cumulative_cases" BIGINT,
"new_deaths" DOUBLE,
"cumulative_deaths" BIGINT
);Anyone who has the link will be able to view this.